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Sentiment Analysis on Demonetization using SVM

Uma Aggarwal1 , Gaurav Aggarwal2

  1. Department of Computer Science, Jagannath University, Bahadurgar, India.
  2. Department of Computer Science, Jagannath University, Bahadurgar, India.

Correspondence should be addressed to: er.umaaggarwal@gmail.com.

Section:Research Paper, Product Type: Journal Paper
Volume-5 , Issue-6 , Page no. 183-187, Jun-2017

Online published on Jun 30, 2017

Copyright © Uma Aggarwal, Gaurav Aggarwal . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Uma Aggarwal, Gaurav Aggarwal , “Sentiment Analysis on Demonetization using SVM,” International Journal of Computer Sciences and Engineering, Vol.5, Issue.6, pp.183-187, 2017.

MLA Style Citation: Uma Aggarwal, Gaurav Aggarwal "Sentiment Analysis on Demonetization using SVM." International Journal of Computer Sciences and Engineering 5.6 (2017): 183-187.

APA Style Citation: Uma Aggarwal, Gaurav Aggarwal , (2017). Sentiment Analysis on Demonetization using SVM. International Journal of Computer Sciences and Engineering, 5(6), 183-187.

BibTex Style Citation:
@article{Aggarwal_2017,
author = {Uma Aggarwal, Gaurav Aggarwal },
title = {Sentiment Analysis on Demonetization using SVM},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {6 2017},
volume = {5},
Issue = {6},
month = {6},
year = {2017},
issn = {2347-2693},
pages = {183-187},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1323},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1323
TI - Sentiment Analysis on Demonetization using SVM
T2 - International Journal of Computer Sciences and Engineering
AU - Uma Aggarwal, Gaurav Aggarwal
PY - 2017
DA - 2017/06/30
PB - IJCSE, Indore, INDIA
SP - 183-187
IS - 6
VL - 5
SN - 2347-2693
ER -

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Abstract

Sentiment Analysis is an area of interest over the last decade. The social networking is one of the important sources for users to know express the views on different organizations, product, and politics. In this work, we focus on mining sentiments and analyzing public review on demonetization. Demonetization was one of the biggest political decisions taken in year 2016 which affected each and every person in India. In demonetization 500 and 1000 rupees currency was banned more over a new 2000 rupees note was introduced in currency. This affected economy, market and exposed black money also. We worked on twitter data for demonetization. It aims to analyzing positive and negative of tweets reviews as sentiment classification task. The raw dataset collected is preprocessed by cleaning unwanted text, tokenized and used for polarity classification of data corpus.

Key-Words / Index Term

Sentiment Analysis , Classification, SVM, Machine learning

References

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